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  1. On-Tree-based-methods-for-Similarity-Learning On-Tree-based-methods-for-Similarity-Learning Public

    Contains the code associated to the LOD 2019 publication: On Tree based methods for Similarity Learning.

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  2. Learning-Fair-Scoring-Functions Learning-Fair-Scoring-Functions Public

    Contains the code associated to the ArXiV paper: Learning Fair Scoring Functions: Fairness Definitions, Algorithms and Generalization Bounds for Bipartite Ranking

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  3. Weighted-Empirical-Risk-Minimization Weighted-Empirical-Risk-Minimization Public

    Contains the code associated to the ESANN 2020 publication: Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling.

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  4. A-Multiclass-Classification-Approach-to-Label-Ranking A-Multiclass-Classification-Approach-to-Label-Ranking Public

    Code associated to the AISTATS 2020 publication: A Multiclass Classification Approach to Label Ranking.

    Python 1

  5. Similarity-Learning-for-Pointwise-ROC-Optimization Similarity-Learning-for-Pointwise-ROC-Optimization Public

    Contains the code associated to the ICML 2018 publication: Similarity Learning for Pointwise ROC Optimization.

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  6. Trade-offs-in-Distributed-Tuplewise-Estimation-and-Learning Trade-offs-in-Distributed-Tuplewise-Estimation-and-Learning Public

    Contains the code associated to the ECML PKDD 2019 publication: Trade-offs in Large Scale Distributed Tuplewise Estimation and Learning.

    Python